The uploaded codes help to classify emails into spam and non spam classes by using Support Vector Machine classifier.

Email Spam Detection using Java and Apache Spark MLib

The Email Bomber is made for research and testing purposes only. Email Bombercan send bulk mail or SMS text messages.

This Model is used to Predict Emails data. Either emails are Spam or Normal (Ham) Mail.

One of the primary methods for spam mail detection is email filtering. It involves categorize incoming emails into spam and non-spam. Machine learning algorithms can be trained to filter out spam mails based on their content and metadata.

A Python-based email spam detector using the Naive Bayes approach.

Using a decision tree classification model to identify spam emails based on the specific occurrence of certain features and patterns within the email text. The dataset contains over 54 feature variables from over 4000 emails and can be used to make a custom email spam detector.

All-in-One Email Extract & Scraper Pro is a powerful and comprehensive email extraction and scraping tool designed to help users extract email addresses from google,bing,yahoo etc search engines, and social media platforms,and google map

Create a `Naive Bayes` model for email spam detection

Some Machine Learning Experiments

Detected Spammed emails from an ‘SMS spam collection dataset’ with 98% accuracy. Used NLTK and Sklearn to preprocess the text data and classification.

Email Spam Filter Service

A simple text classifier in Python that uses the Naive Bayes model to classify e-mails as spam or ham.

A repository containing a list of email addresses that will be identified as sources of spam or other types of fraud in the future.

Using naive bayes classfier to predict spam

An end-to-end automated script that will check the latest email from your google mail account and give a brief report whether the email was spoofed or was supposedly impersonated!

Email Spam Detection using Machine Learning

Email Spam Tool is a powerful application designed for testing and analyzing email systems by generating and sending bulk emails. This tool is meant for security professionals and developers to evaluate email filtering systems and anti-spam measures.

Spam Email Detection using Naive Bayes